AirsideLabs/pre-flight-06

这是一个包含多项选择题的数据集，旨在评估大型语言模型在航空运营、法规和技术概念方面的知识。它作为一个专门针对评估航空领域专业知识的基准。数据集格式为JSONL，包含约300个问题，全部为英语，覆盖了地面操作、法规遵守、飞机操作、技术知识和机场操作等主题。适用于对大型语言模型进行航空知识基准测试，测试模型在航空操作和法规问题上的性能，识别模型的知识空白，以及作为航空专业人士和学生的教育材料。

This dataset contains multiple-choice questions designed to evaluate Large Language Models (LLMs) knowledge of aviation operations, regulations, and technical concepts. It serves as a specialized benchmark for assessing aviation domain expertise. The dataset format is JSONL with approximately 300 questions in English, covering topics such as ground operations, regulatory compliance, aircraft operations, technical knowledge, and airport operations. It is intended for benchmarking LLMs on specialized aviation knowledge, testing model performance on operational and regulatory aviation questions, identifying knowledge gaps in LLMs related to aviation operations, and educational purposes for aviation professionals and students.